I'm counting out
time,
Got the whole thing down by numbers.
All those numbers!
Give me guidance!
O Lord I need that now.
“Counting Out Time”—Genesis
Counting is an instinct for humans. Counting played an
essential and useful purpose in our daily survival and evolution, so we humans
have persisted in quantifying everything that we do.
In our zeal to applying the numbers we collect, it is also
natural that we occasionally misapply the results from the counting; sometimes
the misapplication is harmless, but sometimes the misapplication works towards
our disadvantage.
Thanks to Malcolm Gladwell, the 10,000-hour rule is cited repeatedly
as a heuristic for attaining expertise.
Yet people continue to misunderstand and misapply Ericsson’s
conclusions, taking Gladwell’s attempt to popularize as original research.
Thinking about the continuing reliance on the 10,000-hour
rule made me think about how we use counting in our coaching. For example: we
give our players numerical goals as a quality control measure. For example, we
can have them pass 20 balls, or we can specify 20 good passes, the good passes caveat
is our way to introduce quality into the exercise. We assume that the players
can make the connection between counting good passes and how to make
good passes. Of course, that connection should never be assumed, but that is
why coaches get paid big bucks, right?
As I started thinking in terms of system as I understood it,
it occurred to me that most of our counting involve taking snapshots of a
continuous flow of action; it is a snapshot taken at a specific time in a
specific location. Sports — as with all of our reality that we experience— is a
continuous chain of actions. We use Markov Chains, to be exact, to model sports
as a chain of discrete events, even though it all looks like a continuous flow
of events
The motivating reason for Ericsson’s research, as well as
the reason for Gladwell to write his book Outliers,
Returning to the more basic volleyball example. Do we really
want our players to pass 20 perfect passes in a drill? Or do we want our
players to take the opponent’s wicked serve and convert it into points for our
side? I want the latter than the former. How does that happen?
It takes the convergence of the discrete parts of the
playing experience to achieve this; a discretization that we coaches impose on
the act of passing so that our players can internalize the disparate parts of
the integrated action. We cannot, however, make the player learn how by
throwing them to the wolves by immediately exposing them to the reality. We cannot
coach by hoping that the players can understand
the action of passing by facing what they will be facing in game play. Some
players can and they do this naturally, but for the rest of us, it takes years
of experience, analysis, ability to self-analyze, and autodidactic learning to
achieve. Unfortunately, most of the players will get frustrated and quit the
game before that happens.
The act of teaching skills by parts and then teaching the
players to make connections between the disparate parts of a skill and then integrating
the skill back into an integrated whole has become unfashionable. Even though
teaching the whole prematurely has its own deleterious results.
One of the effects by focusing on the 20 perfect passes is
that we are forgetting and neglecting the result we desire. This is not to say
that we should stop counting, but we should emphasize that the counting has a
monitoring function rather than a goal setting function. The conversation
should be: 20 perfect passes in three minutes or passing 2.4 in the last drill;
rather than using the counting results as goals: the goal is to get 20 passes
in two minutes, or the goal is to pass 2.4 in this drill.
Rather than saying that 10-000 hours of deliberate practice
is what will guarantee mastery, we need to say: continuous and focused
deliberate practice is what is necessary to achieve mastery, do not let the
amount of hours set your limit, take as many hours as you need.
Goodhart’s Law is once again at play here:
Goodhart’s Law: “When a measure becomes a target, it
ceases to be a good measure.”
We need to stop using the intermediate measure from the
process of learning as a target, we need to use it as a check on how we are
doing. The difference is nuanced but
there is a clear difference.
Players will often make the same assumption, they will ask
about what the goal is, it is only natural. This also a chance to include the
growth mindset into the discussion.
Another problem with using the intermediate measures as the
target is that reality is nuanced and depends on the context of the situation.
In the case of the 10,000-hour rule, the context has to do with the attributes
we are born with, physically, emotionally, mentally, and intellectually; as
well as the circumstances surrounding our attempt at mastery. This is not to
say that talent is a constraint that cannot be overcome. This is saying that
not everyone requires the same time and effort to achieve mastery.
In terms of the simple passing example, the context has to
do with the serves that is being passed, the skills of the server, the skill
level and physicality of the team, the practice environment, and so on. Passing
a 2.4 against the USA Gold Medal winning WNT is different that passing 2.4
against the players on your own team.
The point of this article is to remind ourselves that we
must never lose sight of the prize, to focus our sights on the real result
rather than on the byproducts of the process, whether it is to achieve mastery
or to achieve better first touch while playing, rather than achieving 10,000-hours
of practice or 20 good passes in a drill. This is a common problem, losing sight
of our end goal. As Daniel Kahneman, the author of Thinking: Fast and Slow
Works Cited
Ericsson, Anders. "Anders Ericsson: Dismantling
the 10,000 Hour Rule." The Good Life Project. 2020.
https://www.goodlifeproject.com/podcast/anders-ericsson/ (accessed January 17,
2022).
Gladwell, Malcolm. Outliers: The Story of Success.
Back Bay Books, 2011.
Kahneman, Daniel. Thinking Fast and Slow. NYC:
Farrar, Straus and Giroux, 2013.
Wung, Peter. "Stats for Spikes-Markov
Chains." Musings and Ruminations . March 21, 2021.
https://polymathtobe.blogspot.com/2021/03/stats-for-spikes-markov-chains.html
(accessed January 17, 2022).
—. "Stats for Spikes-Using Statistics as
Goals." Musings and Ruminations . March 6, 2021.
https://polymathtobe.blogspot.com/2021/03/stats-for-spikes-use-of-statistics-as.html
(accessed January 17, 2022).
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